Profiling Report

Dataset statistics

Number of variables	62
Number of observations	20000
Missing cells	61479
Missing cells (%)	5.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	9.5 MiB
Average record size in memory	496.0 B

Variable types

Categorical	37
Numeric	25

Alerts

`n7` has constant value "0.0"	Constant
`n8` has constant value "0.0"	Constant
`n10` has constant value "0.0"	Constant
`alert_ids` has a high cardinality: 20000 distinct values	High cardinality
`client_code` has a high cardinality: 264 distinct values	High cardinality
`ip` has a high cardinality: 8499 distinct values	High cardinality
`parent_category` is highly correlated with `ipcategory_name` and 8 other fields	High correlation
`overallseverity` is highly correlated with `untrustscore` and 2 other fields	High correlation
`timestamp_dist` is highly correlated with `correlatedcount` and 2 other fields	High correlation
`correlatedcount` is highly correlated with `timestamp_dist` and 4 other fields	High correlation
`n1` is highly correlated with `n2` and 3 other fields	High correlation
`n2` is highly correlated with `n1` and 3 other fields	High correlation
`n3` is highly correlated with `n4` and 5 other fields	High correlation
`n4` is highly correlated with `n3` and 6 other fields	High correlation
`n5` is highly correlated with `n3` and 5 other fields	High correlation
`score` is highly correlated with `n1` and 12 other fields	High correlation
`srcip_cd` is highly correlated with `srcport_cd` and 1 other fields	High correlation
`dstip_cd` is highly correlated with `timestamp_dist` and 4 other fields	High correlation
`srcport_cd` is highly correlated with `correlatedcount` and 1 other fields	High correlation
`dstport_cd` is highly correlated with `p9`	High correlation
`alerttype_cd` is highly correlated with `n1` and 8 other fields	High correlation
`direction_cd` is highly correlated with `alerttype_cd` and 10 other fields	High correlation
`eventname_cd` is highly correlated with `correlatedcount` and 7 other fields	High correlation
`severity_cd` is highly correlated with `alerttype_cd` and 9 other fields	High correlation
`reportingdevice_cd` is highly correlated with `eventname_cd` and 2 other fields	High correlation
`devicetype_cd` is highly correlated with `alerttype_cd` and 9 other fields	High correlation
`devicevendor_cd` is highly correlated with `alerttype_cd` and 9 other fields	High correlation
`srcipcategory_cd` is highly correlated with `direction_cd` and 6 other fields	High correlation
`dstipcategory_cd` is highly correlated with `direction_cd` and 6 other fields	High correlation
`isiptrusted` is highly correlated with `ipcategory_name` and 5 other fields	High correlation
`untrustscore` is highly correlated with `categoryname` and 5 other fields	High correlation
`flowscore` is highly correlated with `alerttype_cd` and 3 other fields	High correlation
`thrcnt_month` is highly correlated with `parent_category` and 4 other fields	High correlation
`thrcnt_week` is highly correlated with `parent_category` and 4 other fields	High correlation
`thrcnt_day` is highly correlated with `parent_category` and 4 other fields	High correlation
`p6` is highly correlated with `n1` and 8 other fields	High correlation
`p9` is highly correlated with `timestamp_dist` and 2 other fields	High correlation
`p5m` is highly correlated with `n3` and 5 other fields	High correlation
`p5w` is highly correlated with `n3` and 6 other fields	High correlation
`p5d` is highly correlated with `score` and 3 other fields	High correlation
`p8m` is highly correlated with `n4` and 2 other fields	High correlation
`p8w` is highly correlated with `score` and 2 other fields	High correlation
`p8d` is highly correlated with `n4` and 4 other fields	High correlation
`domain_cd` is highly correlated with `correlatedcount` and 2 other fields	High correlation
`enforcementscore` is highly correlated with `overallseverity`	High correlation
`n8` is highly correlated with `enforcementscore` and 32 other fields	High correlation
`grandparent_category` is highly correlated with `ipcategory_name` and 4 other fields	High correlation
`dstportcategory_dominate` is highly correlated with `categoryname` and 7 other fields	High correlation
`srcipcategory_dominate` is highly correlated with `ipcategory_name` and 5 other fields	High correlation
`weekday` is highly correlated with `n8` and 2 other fields	High correlation
`n9` is highly correlated with `score`	High correlation
`trustscore` is highly correlated with `overallseverity`	High correlation
`n6` is highly correlated with `n3` and 2 other fields	High correlation
`dstipcategory_dominate` is highly correlated with `ipcategory_name` and 4 other fields	High correlation
`srcportcategory_dominate` is highly correlated with `direction_cd` and 6 other fields	High correlation
`categoryname` is highly correlated with `untrustscore` and 1 other fields	High correlation
`n10` is highly correlated with `enforcementscore` and 32 other fields	High correlation
`ipcategory_name` is highly correlated with `ipcategory_scope` and 5 other fields	High correlation
`ipcategory_scope` is highly correlated with `ipcategory_name` and 5 other fields	High correlation
`n7` is highly correlated with `enforcementscore` and 32 other fields	High correlation
`username_cd` is highly correlated with `srcip_cd`	High correlation
`n1` has 5589 (27.9%) missing values	Missing
`n2` has 5589 (27.9%) missing values	Missing
`n3` has 5589 (27.9%) missing values	Missing
`n4` has 5589 (27.9%) missing values	Missing
`n5` has 5589 (27.9%) missing values	Missing
`n6` has 5589 (27.9%) missing values	Missing
`n7` has 5589 (27.9%) missing values	Missing
`n8` has 5589 (27.9%) missing values	Missing
`n9` has 5589 (27.9%) missing values	Missing
`n10` has 5589 (27.9%) missing values	Missing
`score` has 5589 (27.9%) missing values	Missing
`correlatedcount` is highly skewed (γ1 = 84.65286314)	Skewed
`srcip_cd` is highly skewed (γ1 = 20.88258636)	Skewed
`dstip_cd` is highly skewed (γ1 = 77.10503233)	Skewed
`srcport_cd` is highly skewed (γ1 = 34.06946492)	Skewed
`dstport_cd` is highly skewed (γ1 = 21.11969578)	Skewed
`reportingdevice_cd` is highly skewed (γ1 = 52.43333195)	Skewed
`domain_cd` is highly skewed (γ1 = 141.4211824)	Skewed
`protocol_cd` is highly skewed (γ1 = 73.68983205)	Skewed
`username_cd` is highly skewed (γ1 = 55.59334911)	Skewed
`p9` is highly skewed (γ1 = 77.10866903)	Skewed
`alert_ids` is uniformly distributed	Uniform
`alert_ids` has unique values	Unique
`timestamp_dist` has 6197 (31.0%) zeros	Zeros
`start_hour` has 970 (4.9%) zeros	Zeros
`start_minute` has 483 (2.4%) zeros	Zeros
`start_second` has 314 (1.6%) zeros	Zeros
`score` has 1962 (9.8%) zeros	Zeros
`srcip_cd` has 594 (3.0%) zeros	Zeros
`dstip_cd` has 1553 (7.8%) zeros	Zeros
`srcport_cd` has 660 (3.3%) zeros	Zeros
`dstport_cd` has 660 (3.3%) zeros	Zeros
`alerttype_cd` has 594 (3.0%) zeros	Zeros
`direction_cd` has 594 (3.0%) zeros	Zeros
`eventname_cd` has 669 (3.3%) zeros	Zeros
`severity_cd` has 594 (3.0%) zeros	Zeros
`reportingdevice_cd` has 594 (3.0%) zeros	Zeros
`devicetype_cd` has 660 (3.3%) zeros	Zeros
`domain_cd` has 19093 (95.5%) zeros	Zeros
`protocol_cd` has 9245 (46.2%) zeros	Zeros
`username_cd` has 17531 (87.7%) zeros	Zeros
`p6` has 594 (3.0%) zeros	Zeros
`p9` has 19491 (97.5%) zeros	Zeros

Reproduction

Analysis started	2022-09-21 10:44:01.306285
Analysis finished	2022-09-21 10:45:37.684996
Duration	1 minute and 36.38 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

alert_ids
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	20000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

Slg	1
oEI	1
PXy	1
YvK	1
YmS	1
Other values (19995)	19995

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	60000
Distinct characters	52
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20000 ?
Unique (%)	100.0%

Sample

1st row	Slg
2nd row	WKM
3rd row	dkm
4th row	RIX
5th row	qFU

Common Values

Value	Count	Frequency (%)
Slg	1	< 0.1%
oEI	1	< 0.1%
PXy	1	< 0.1%
YvK	1	< 0.1%
YmS	1	< 0.1%
UqB	1	< 0.1%
bkD	1	< 0.1%
pvT	1	< 0.1%
MxW	1	< 0.1%
SoT	1	< 0.1%
Other values (19990)	19990	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
uaa	6	< 0.1%
zzr	6	< 0.1%
avb	6	< 0.1%
qre	6	< 0.1%
taf	5	< 0.1%
hif	5	< 0.1%
jtb	5	< 0.1%
nfq	5	< 0.1%
yzg	5	< 0.1%
bcf	5	< 0.1%
Other values (12437)	19946	99.7%

Most occurring characters

Value	Count	Frequency (%)
J	1213	2.0%
M	1208	2.0%
d	1204	2.0%
E	1189	2.0%
W	1188	2.0%
F	1184	2.0%
p	1184	2.0%
c	1184	2.0%
b	1181	2.0%
U	1179	2.0%
Other values (42)	48086	80.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30016	50.0%
Lowercase Letter	29984	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
J	1213	4.0%
M	1208	4.0%
E	1189	4.0%
W	1188	4.0%
F	1184	3.9%
U	1179	3.9%
I	1174	3.9%
T	1174	3.9%
B	1169	3.9%
A	1167	3.9%
Other values (16)	18171	60.5%

Lowercase Letter

Value	Count	Frequency (%)
d	1204	4.0%
p	1184	3.9%
c	1184	3.9%
b	1181	3.9%
x	1177	3.9%
l	1174	3.9%
y	1174	3.9%
f	1172	3.9%
t	1172	3.9%
a	1167	3.9%
Other values (16)	18195	60.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
J	1213	2.0%
M	1208	2.0%
d	1204	2.0%
E	1189	2.0%
W	1188	2.0%
F	1184	2.0%
p	1184	2.0%
c	1184	2.0%
b	1181	2.0%
U	1179	2.0%
Other values (42)	48086	80.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
J	1213	2.0%
M	1208	2.0%
d	1204	2.0%
E	1189	2.0%
W	1188	2.0%
F	1184	2.0%
p	1184	2.0%
c	1184	2.0%
b	1181	2.0%
U	1179	2.0%
Other values (42)	48086	80.1%

client_code
Categorical

HIGH CARDINALITY

Distinct	264
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

OTS	419
WYF	412
UZT	367
QQH	341
MBG	332
Other values (259)	18129

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	60000
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	RLJ
2nd row	UZT
3rd row	ZZW
4th row	QXG
5th row	PDU

Common Values

Value	Count	Frequency (%)
OTS	419	2.1%
WYF	412	2.1%
UZT	367	1.8%
QQH	341	1.7%
MBG	332	1.7%
PCV	326	1.6%
AMC	320	1.6%
OPC	263	1.3%
OUW	249	1.2%
SHB	241	1.2%
Other values (254)	16730	83.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ots	419	2.1%
wyf	412	2.1%
uzt	367	1.8%
qqh	341	1.7%
mbg	332	1.7%
pcv	326	1.6%
amc	320	1.6%
opc	263	1.3%
ouw	249	1.2%
shb	241	1.2%
Other values (254)	16730	83.7%

Most occurring characters

Value	Count	Frequency (%)
Q	3360	5.6%
B	3159	5.3%
C	3024	5.0%
W	2917	4.9%
T	2866	4.8%
U	2736	4.6%
V	2616	4.4%
Z	2583	4.3%
R	2546	4.2%
S	2455	4.1%
Other values (16)	31738	52.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	60000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Q	3360	5.6%
B	3159	5.3%
C	3024	5.0%
W	2917	4.9%
T	2866	4.8%
U	2736	4.6%
V	2616	4.4%
Z	2583	4.3%
R	2546	4.2%
S	2455	4.1%
Other values (16)	31738	52.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Q	3360	5.6%
B	3159	5.3%
C	3024	5.0%
W	2917	4.9%
T	2866	4.8%
U	2736	4.6%
V	2616	4.4%
Z	2583	4.3%
R	2546	4.2%
S	2455	4.1%
Other values (16)	31738	52.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Q	3360	5.6%
B	3159	5.3%
C	3024	5.0%
W	2917	4.9%
T	2866	4.8%
U	2736	4.6%
V	2616	4.4%
Z	2583	4.3%
R	2546	4.2%
S	2455	4.1%
Other values (16)	31738	52.9%

categoryname
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

Exploit	9632
Attack	7288
Control and Maintain	1973
Reconnaissance	517
Attack Preparation	390

Length

Max length	20
Median length	18
Mean length	8.3435
Min length	6

Characters and Unicode

Total characters	166870
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Exploit
2nd row	Exploit
3rd row	Attack
4th row	Attack
5th row	Exploit

Common Values

Value	Count	Frequency (%)
Exploit	9632	48.2%
Attack	7288	36.4%
Control and Maintain	1973	9.9%
Reconnaissance	517	2.6%
Attack Preparation	390	1.9%
Compromise	200	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
exploit	9632	39.6%
attack	7678	31.5%
control	1973	8.1%
and	1973	8.1%
maintain	1973	8.1%
reconnaissance	517	2.1%
preparation	390	1.6%
compromise	200	0.8%

Most occurring characters

Value	Count	Frequency (%)
t	29324	17.6%
a	15411	9.2%
o	14885	8.9%
i	14685	8.8%
l	11605	7.0%
p	10222	6.1%
n	9833	5.9%
E	9632	5.8%
x	9632	5.8%
c	8712	5.2%
Other values (12)	32929	19.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	140171	84.0%
Uppercase Letter	22363	13.4%
Space Separator	4336	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	29324	20.9%
a	15411	11.0%
o	14885	10.6%
i	14685	10.5%
l	11605	8.3%
p	10222	7.3%
n	9833	7.0%
x	9632	6.9%
c	8712	6.2%
k	7678	5.5%
Other values (5)	8184	5.8%

Uppercase Letter

Value	Count	Frequency (%)
E	9632	43.1%
A	7678	34.3%
C	2173	9.7%
M	1973	8.8%
R	517	2.3%
P	390	1.7%

Space Separator

Value	Count	Frequency (%)
	4336	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	162534	97.4%
Common	4336	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	29324	18.0%
a	15411	9.5%
o	14885	9.2%
i	14685	9.0%
l	11605	7.1%
p	10222	6.3%
n	9833	6.0%
E	9632	5.9%
x	9632	5.9%
c	8712	5.4%
Other values (11)	28593	17.6%

Common

Value	Count	Frequency (%)
	4336	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166870	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	29324	17.6%
a	15411	9.2%
o	14885	8.9%
i	14685	8.8%
l	11605	7.0%
p	10222	6.1%
n	9833	5.9%
E	9632	5.8%
x	9632	5.8%
c	8712	5.2%
Other values (12)	32929	19.7%

ip
Categorical

HIGH CARDINALITY

Distinct	8499
Distinct (%)	42.5%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

YT.LB.32.21	628
MC.ER.197.27	518
YT.LB.34.21	434
YT.RD.254.202	413
OQ.QJ.38.32	373
Other values (8494)	17634

Length

Max length	13
Median length	12
Mean length	11.62725
Min length	8

Characters and Unicode

Total characters	232545
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6050 ?
Unique (%)	30.2%

Sample

1st row	MW.YB.50.64
2nd row	IJ.NW.77.74
3rd row	YT.LB.36.21
4th row	172.BW.LB.105
5th row	YT.LB.32.110

Common Values

Value	Count	Frequency (%)
YT.LB.32.21	628	3.1%
MC.ER.197.27	518	2.6%
YT.LB.34.21	434	2.2%
YT.RD.254.202	413	2.1%
OQ.QJ.38.32	373	1.9%
YT.LB.36.21	352	1.8%
YT.LB.38.21	340	1.7%
YT.LB.32.10	319	1.6%
YT.LB.36.10	191	1.0%
ZU.SK.99.55	174	0.9%
Other values (8489)	16258	81.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
yt.lb.32.21	628	3.1%
mc.er.197.27	518	2.6%
yt.lb.34.21	434	2.2%
yt.rd.254.202	413	2.1%
oq.qj.38.32	373	1.9%
yt.lb.36.21	352	1.8%
yt.lb.38.21	340	1.7%
yt.lb.32.10	319	1.6%
yt.lb.36.10	191	1.0%
zu.sk.99.55	174	0.9%
Other values (8489)	16258	81.3%

Most occurring characters

Value	Count	Frequency (%)
.	60000	25.8%
1	24425	10.5%
2	15729	6.8%
0	12015	5.2%
3	9057	3.9%
L	6193	2.7%
9	6148	2.6%
B	6038	2.6%
T	5966	2.6%
7	5751	2.5%
Other values (27)	81223	34.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	92577	39.8%
Uppercase Letter	79968	34.4%
Other Punctuation	60000	25.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	6193	7.7%
B	6038	7.6%
T	5966	7.5%
Y	5614	7.0%
S	4027	5.0%
J	3640	4.6%
E	3472	4.3%
O	3373	4.2%
R	3215	4.0%
F	2597	3.2%
Other values (16)	35833	44.8%

Decimal Number

Value	Count	Frequency (%)
1	24425	26.4%
2	15729	17.0%
0	12015	13.0%
3	9057	9.8%
9	6148	6.6%
7	5751	6.2%
4	5446	5.9%
5	5414	5.8%
6	4589	5.0%
8	4003	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	60000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	152577	65.6%
Latin	79968	34.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	6193	7.7%
B	6038	7.6%
T	5966	7.5%
Y	5614	7.0%
S	4027	5.0%
J	3640	4.6%
E	3472	4.3%
O	3373	4.2%
R	3215	4.0%
F	2597	3.2%
Other values (16)	35833	44.8%

Common

Value	Count	Frequency (%)
.	60000	39.3%
1	24425	16.0%
2	15729	10.3%
0	12015	7.9%
3	9057	5.9%
9	6148	4.0%
7	5751	3.8%
4	5446	3.6%
5	5414	3.5%
6	4589	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232545	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	60000	25.8%
1	24425	10.5%
2	15729	6.8%
0	12015	5.2%
3	9057	3.9%
L	6193	2.7%
9	6148	2.6%
B	6038	2.6%
T	5966	2.6%
7	5751	2.5%
Other values (27)	81223	34.9%

ipcategory_name
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

INTERNET	11005
PRIV-10	6107
PRIV-192	1647
PRIV-172	1225
LOOPBACK	6
Other values (4)	10

Length

Max length	10
Median length	8
Mean length	7.69515
Min length	5

Characters and Unicode

Total characters	153903
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	INTERNET
2nd row	INTERNET
3rd row	INTERNET
4th row	PRIV-172
5th row	INTERNET

Common Values

Value	Count	Frequency (%)
INTERNET	11005	55.0%
PRIV-10	6107	30.5%
PRIV-192	1647	8.2%
PRIV-172	1225	6.1%
LOOPBACK	6	< 0.1%
LINK-LOCAL	4	< 0.1%
MULTICAST	3	< 0.1%
BROADCAST	2	< 0.1%
BENCH	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
internet	11005	55.0%
priv-10	6107	30.5%
priv-192	1647	8.2%
priv-172	1225	6.1%
loopback	6	< 0.1%
link-local	4	< 0.1%
multicast	3	< 0.1%
broadcast	2	< 0.1%
bench	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
T	22018	14.3%
N	22015	14.3%
E	22011	14.3%
I	19991	13.0%
R	19986	13.0%
P	8985	5.8%
-	8983	5.8%
V	8979	5.8%
1	8979	5.8%
0	6107	4.0%
Other values (14)	5849	3.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	124090	80.6%
Decimal Number	20830	13.5%
Dash Punctuation	8983	5.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	22018	17.7%
N	22015	17.7%
E	22011	17.7%
I	19991	16.1%
R	19986	16.1%
P	8985	7.2%
V	8979	7.2%
L	21	< 0.1%
O	18	< 0.1%
A	17	< 0.1%
Other values (8)	49	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	8979	43.1%
0	6107	29.3%
2	2872	13.8%
9	1647	7.9%
7	1225	5.9%

Dash Punctuation

Value	Count	Frequency (%)
-	8983	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124090	80.6%
Common	29813	19.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	22018	17.7%
N	22015	17.7%
E	22011	17.7%
I	19991	16.1%
R	19986	16.1%
P	8985	7.2%
V	8979	7.2%
L	21	< 0.1%
O	18	< 0.1%
A	17	< 0.1%
Other values (8)	49	< 0.1%

Common

Value	Count	Frequency (%)
-	8983	30.1%
1	8979	30.1%
0	6107	20.5%
2	2872	9.6%
9	1647	5.5%
7	1225	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153903	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	22018	14.3%
N	22015	14.3%
E	22011	14.3%
I	19991	13.0%
R	19986	13.0%
P	8985	5.8%
-	8983	5.8%
V	8979	5.8%
1	8979	5.8%
0	6107	4.0%
Other values (14)	5849	3.8%

ipcategory_scope
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

Internet	11008
Private network	8980
Subnet	6
Host	6

Length

Max length	15
Median length	8
Mean length	11.1412
Min length	4

Characters and Unicode

Total characters	222824
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Internet
2nd row	Internet
3rd row	Internet
4th row	Private network
5th row	Internet

Common Values

Value	Count	Frequency (%)
Internet	11008	55.0%
Private network	8980	44.9%
Subnet	6	< 0.1%
Host	6	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
internet	11008	38.0%
private	8980	31.0%
network	8980	31.0%
subnet	6	< 0.1%
host	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
t	39988	17.9%
e	39982	17.9%
n	31002	13.9%
r	28968	13.0%
I	11008	4.9%
o	8986	4.0%
k	8980	4.0%
w	8980	4.0%
	8980	4.0%
a	8980	4.0%
Other values (8)	26970	12.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	193844	87.0%
Uppercase Letter	20000	9.0%
Space Separator	8980	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	39988	20.6%
e	39982	20.6%
n	31002	16.0%
r	28968	14.9%
o	8986	4.6%
k	8980	4.6%
w	8980	4.6%
a	8980	4.6%
v	8980	4.6%
i	8980	4.6%
Other values (3)	18	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
I	11008	55.0%
P	8980	44.9%
S	6	< 0.1%
H	6	< 0.1%

Space Separator

Value	Count	Frequency (%)
	8980	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	213844	96.0%
Common	8980	4.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	39988	18.7%
e	39982	18.7%
n	31002	14.5%
r	28968	13.5%
I	11008	5.1%
o	8986	4.2%
k	8980	4.2%
w	8980	4.2%
a	8980	4.2%
v	8980	4.2%
Other values (7)	17990	8.4%

Common

Value	Count	Frequency (%)
	8980	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	222824	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	39988	17.9%
e	39982	17.9%
n	31002	13.9%
r	28968	13.0%
I	11008	4.9%
o	8986	4.0%
k	8980	4.0%
w	8980	4.0%
	8980	4.0%
a	8980	4.0%
Other values (8)	26970	12.1%

parent_category
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

7	11005
1	8979
4	8
3	5
5	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7
2nd row	7
3rd row	7
4th row	1
5th row	7

Common Values

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	11005	55.0%
1	8979	44.9%
4	8	< 0.1%
3	5	< 0.1%
5	3	< 0.1%

grandparent_category
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

A	19989
B	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
A	19989	99.9%
B	11	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
a	19989	99.9%
b	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	19989	99.9%
B	11	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	19989	99.9%
B	11	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	19989	99.9%
B	11	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	19989	99.9%
B	11	0.1%

overallseverity
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

3	8880
5	4246
4	3757
2	3008
1	109

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	5
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

Most occurring characters

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	8880	44.4%
5	4246	21.2%
4	3757	18.8%
2	3008	15.0%
1	109	0.5%

timestamp_dist
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	9622
Distinct (%)	48.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35821.62125

Minimum	0
Maximum	1391963
Zeros	6197
Zeros (%)	31.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1808
Q3	17072
95-th percentile	229707
Maximum	1391963
Range	1391963
Interquartile range (IQR)	17072

Descriptive statistics

Standard deviation	99712.09662
Coefficient of variation (CV)	2.783572969
Kurtosis	30.79741658
Mean	35821.62125
Median Absolute Deviation (MAD)	1808
Skewness	4.858193628
Sum	716432425
Variance	9942502212
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6197	31.0%
1	174	0.9%
2	92	0.5%
6	85	0.4%
7	69	0.3%
20	66	0.3%
4	62	0.3%
3	62	0.3%
5	56	0.3%
10	53	0.3%
Other values (9612)	13084	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6197	31.0%
1	174	0.9%
2	92	0.5%
3	62	0.3%
4	62	0.3%
5	56	0.3%
6	85	0.4%
7	69	0.3%
8	45	0.2%
9	53	0.3%

Value	Count	Frequency (%)
1391963	1	< 0.1%
1223995	1	< 0.1%
1034959	1	< 0.1%
1023320	1	< 0.1%
1016513	1	< 0.1%
1013569	1	< 0.1%
1012338	1	< 0.1%
1012328	1	< 0.1%
986764	1	< 0.1%
977860	1	< 0.1%

start_hour
Real number (ℝ_≥0)

ZEROS

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.47125

Minimum	0
Maximum	23
Zeros	970
Zeros (%)	4.9%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	13
Q3	19
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	7.239985795
Coefficient of variation (CV)	0.580534092
Kurtosis	-1.237834059
Mean	12.47125
Median Absolute Deviation (MAD)	6
Skewness	-0.2415790605
Sum	249425
Variance	52.41739431
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
20	1221	6.1%
23	1132	5.7%
18	1074	5.4%
17	1052	5.3%
22	1029	5.1%
21	1001	5.0%
0	970	4.9%
19	963	4.8%
1	904	4.5%
15	894	4.5%
Other values (14)	9760	48.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	970	4.9%
1	904	4.5%
2	837	4.2%
3	724	3.6%
4	545	2.7%
5	622	3.1%
6	649	3.2%
7	617	3.1%
8	690	3.5%
9	613	3.1%

Value	Count	Frequency (%)
23	1132	5.7%
22	1029	5.1%
21	1001	5.0%
20	1221	6.1%
19	963	4.8%
18	1074	5.4%
17	1052	5.3%
16	890	4.5%
15	894	4.5%
14	711	3.6%

start_minute
Real number (ℝ_≥0)

ZEROS

Distinct	60
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.0901

Minimum	0
Maximum	59
Zeros	483
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	14
median	29
Q3	44
95-th percentile	57
Maximum	59
Range	59
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.56404016
Coefficient of variation (CV)	0.6037806732
Kurtosis	-1.218322161
Mean	29.0901
Median Absolute Deviation (MAD)	15
Skewness	0.01568922978
Sum	581802
Variance	308.4955068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	483	2.4%
2	376	1.9%
12	372	1.9%
59	370	1.8%
3	370	1.8%
21	362	1.8%
55	362	1.8%
50	362	1.8%
33	359	1.8%
7	354	1.8%
Other values (50)	16230	81.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	483	2.4%
1	326	1.6%
2	376	1.9%
3	370	1.8%
4	348	1.7%
5	344	1.7%
6	335	1.7%
7	354	1.8%
8	305	1.5%
9	301	1.5%

Value	Count	Frequency (%)
59	370	1.8%
58	317	1.6%
57	327	1.6%
56	309	1.5%
55	362	1.8%
54	323	1.6%
53	317	1.6%
52	308	1.5%
51	338	1.7%
50	362	1.8%

start_second
Real number (ℝ_≥0)

ZEROS

Distinct	60
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.14675

Minimum	0
Maximum	59
Zeros	314
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	14
median	29
Q3	44
95-th percentile	57
Maximum	59
Range	59
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.48471047
Coefficient of variation (CV)	0.5998854236
Kurtosis	-1.219522786
Mean	29.14675
Median Absolute Deviation (MAD)	15
Skewness	0.02472124634
Sum	582935
Variance	305.7151002
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	399	2.0%
3	386	1.9%
26	376	1.9%
24	375	1.9%
7	369	1.8%
5	366	1.8%
57	358	1.8%
1	356	1.8%
35	353	1.8%
32	353	1.8%
Other values (50)	16309	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	314	1.6%
1	356	1.8%
2	399	2.0%
3	386	1.9%
4	347	1.7%
5	366	1.8%
6	338	1.7%
7	369	1.8%
8	343	1.7%
9	350	1.8%

Value	Count	Frequency (%)
59	331	1.7%
58	313	1.6%
57	358	1.8%
56	323	1.6%
55	348	1.7%
54	340	1.7%
53	334	1.7%
52	330	1.7%
51	334	1.7%
50	340	1.7%

weekday
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

Fri	3952
Thu	3853
Wed	2983
Tue	2725
Sat	2358
Other values (2)	4129

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	60000
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Wed
2nd row	Sat
3rd row	Sat
4th row	Thu
5th row	Fri

Common Values

Value	Count	Frequency (%)
Fri	3952	19.8%
Thu	3853	19.3%
Wed	2983	14.9%
Tue	2725	13.6%
Sat	2358	11.8%
Mon	2148	10.7%
Sun	1981	9.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fri	3952	19.8%
thu	3853	19.3%
wed	2983	14.9%
tue	2725	13.6%
sat	2358	11.8%
mon	2148	10.7%
sun	1981	9.9%

Most occurring characters

Value	Count	Frequency (%)
u	8559	14.3%
T	6578	11.0%
e	5708	9.5%
S	4339	7.2%
n	4129	6.9%
F	3952	6.6%
r	3952	6.6%
i	3952	6.6%
h	3853	6.4%
W	2983	5.0%
Other values (5)	11995	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40000	66.7%
Uppercase Letter	20000	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	8559	21.4%
e	5708	14.3%
n	4129	10.3%
r	3952	9.9%
i	3952	9.9%
h	3853	9.6%
d	2983	7.5%
a	2358	5.9%
t	2358	5.9%
o	2148	5.4%

Uppercase Letter

Value	Count	Frequency (%)
T	6578	32.9%
S	4339	21.7%
F	3952	19.8%
W	2983	14.9%
M	2148	10.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	8559	14.3%
T	6578	11.0%
e	5708	9.5%
S	4339	7.2%
n	4129	6.9%
F	3952	6.6%
r	3952	6.6%
i	3952	6.6%
h	3853	6.4%
W	2983	5.0%
Other values (5)	11995	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	8559	14.3%
T	6578	11.0%
e	5708	9.5%
S	4339	7.2%
n	4129	6.9%
F	3952	6.6%
r	3952	6.6%
i	3952	6.6%
h	3853	6.4%
W	2983	5.0%
Other values (5)	11995	20.0%

correlatedcount
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	826
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	106.1647

Minimum	1
Maximum	292479
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	9
95-th percentile	160
Maximum	292479
Range	292478
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	2727.057695
Coefficient of variation (CV)	25.68704753
Kurtosis	8027.337103
Mean	106.1647
Median Absolute Deviation (MAD)	1
Skewness	84.65286314
Sum	2123294
Variance	7436843.67
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	8350	41.8%
2	3065	15.3%
3	1250	6.2%
4	824	4.1%
5	518	2.6%
6	402	2.0%
7	303	1.5%
8	284	1.4%
12	209	1.0%
13	208	1.0%
Other values (816)	4587	22.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8350	41.8%
2	3065	15.3%
3	1250	6.2%
4	824	4.1%
5	518	2.6%
6	402	2.0%
7	303	1.5%
8	284	1.4%
9	199	1.0%
10	200	1.0%

Value	Count	Frequency (%)
292479	1	< 0.1%
183415	1	< 0.1%
144899	1	< 0.1%
39681	1	< 0.1%
22006	1	< 0.1%
21068	1	< 0.1%
20900	1	< 0.1%
19124	1	< 0.1%
18645	1	< 0.1%
17746	1	< 0.1%

n1
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	13683
1.0	728

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	13683	68.4%
1.0	728	3.6%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	13683	94.9%
1.0	728	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	28094	65.0%
.	14411	33.3%
1	728	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28094	97.5%
1	728	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28094	65.0%
.	14411	33.3%
1	728	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28094	65.0%
.	14411	33.3%
1	728	1.7%

n2
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	14285
1.0	126

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14285	71.4%
1.0	126	0.6%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	14285	99.1%
1.0	126	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	28696	66.4%
.	14411	33.3%
1	126	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28696	99.6%
1	126	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28696	66.4%
.	14411	33.3%
1	126	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28696	66.4%
.	14411	33.3%
1	126	0.3%

n3
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	9365
1.0	5046

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	9365	46.8%
1.0	5046	25.2%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	9365	65.0%
1.0	5046	35.0%

Most occurring characters

Value	Count	Frequency (%)
0	23776	55.0%
.	14411	33.3%
1	5046	11.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23776	82.5%
1	5046	17.5%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	23776	55.0%
.	14411	33.3%
1	5046	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23776	55.0%
.	14411	33.3%
1	5046	11.7%

n4
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	11593
1.0	2818

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	11593	58.0%
1.0	2818	14.1%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	11593	80.4%
1.0	2818	19.6%

Most occurring characters

Value	Count	Frequency (%)
0	26004	60.1%
.	14411	33.3%
1	2818	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26004	90.2%
1	2818	9.8%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26004	60.1%
.	14411	33.3%
1	2818	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26004	60.1%
.	14411	33.3%
1	2818	6.5%

n5
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	9200
1.0	5211

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	9200	46.0%
1.0	5211	26.1%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	9200	63.8%
1.0	5211	36.2%

Most occurring characters

Value	Count	Frequency (%)
0	23611	54.6%
.	14411	33.3%
1	5211	12.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23611	81.9%
1	5211	18.1%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	23611	54.6%
.	14411	33.3%
1	5211	12.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23611	54.6%
.	14411	33.3%
1	5211	12.1%

n6
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

1.0	7654
0.0	6757

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	7654	38.3%
0.0	6757	33.8%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	7654	53.1%
0.0	6757	46.9%

Most occurring characters

Value	Count	Frequency (%)
0	21168	49.0%
.	14411	33.3%
1	7654	17.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	21168	73.4%
1	7654	26.6%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	21168	49.0%
.	14411	33.3%
1	7654	17.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	21168	49.0%
.	14411	33.3%
1	7654	17.7%

n7
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	14411

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14411	72.1%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	14411	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28822	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

n8
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	14411

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14411	72.1%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	14411	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28822	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

n9
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	14162
1.0	249

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14162	70.8%
1.0	249	1.2%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	14162	98.3%
1.0	249	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	28573	66.1%
.	14411	33.3%
1	249	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28573	99.1%
1	249	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28573	66.1%
.	14411	33.3%
1	249	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28573	66.1%
.	14411	33.3%
1	249	0.6%

n10
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	5589
Missing (%)	27.9%
Memory size	156.4 KiB

0.0	14411

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43233
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14411	72.1%
(Missing)	5589	27.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	14411	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28822	66.7%
Other Punctuation	14411	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28822	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43233	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28822	66.7%
.	14411	33.3%

score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	8
Distinct (%)	0.1%
Missing	5589
Missing (%)	27.9%
Infinite	0
Infinite (%)	0.0%
Mean	2.261328152

Minimum	0
Maximum	7
Zeros	1962
Zeros (%)	9.8%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	3
95-th percentile	4
Maximum	7
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.501880343
Coefficient of variation (CV)	0.6641585131
Kurtosis	-0.9972586717
Mean	2.261328152
Median Absolute Deviation (MAD)	1
Skewness	0.07507271764
Sum	32588
Variance	2.255644565
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	4371	21.9%
1	3914	19.6%
4	2471	12.4%
0	1962	9.8%
2	978	4.9%
5	576	2.9%
6	132	0.7%
7	7	< 0.1%
(Missing)	5589	27.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1962	9.8%
1	3914	19.6%
2	978	4.9%
3	4371	21.9%
4	2471	12.4%
5	576	2.9%
6	132	0.7%
7	7	< 0.1%

Value	Count	Frequency (%)
7	7	< 0.1%
6	132	0.7%
5	576	2.9%
4	2471	12.4%
3	4371	21.9%
2	978	4.9%
1	3914	19.6%
0	1962	9.8%

srcip_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	342
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.38045

Minimum	0
Maximum	3287
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	16
Maximum	3287
Range	3287
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	93.17957732
Coefficient of variation (CV)	8.97644874
Kurtosis	540.9733017
Mean	10.38045
Median Absolute Deviation (MAD)	0
Skewness	20.88258636
Sum	207609
Variance	8682.433629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	15087	75.4%
2	1546	7.7%
0	594	3.0%
3	538	2.7%
4	315	1.6%
5	213	1.1%
6	136	0.7%
7	115	0.6%
8	85	0.4%
10	71	0.4%
Other values (332)	1300	6.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	15087	75.4%
2	1546	7.7%
3	538	2.7%
4	315	1.6%
5	213	1.1%
6	136	0.7%
7	115	0.6%
8	85	0.4%
9	63	0.3%

Value	Count	Frequency (%)
3287	1	< 0.1%
2913	1	< 0.1%
2875	1	< 0.1%
2842	1	< 0.1%
2728	1	< 0.1%
2696	2	< 0.1%
2620	1	< 0.1%
2600	1	< 0.1%
2579	1	< 0.1%
2550	1	< 0.1%

dstip_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	421
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.7921

Minimum	0
Maximum	39007
Zeros	1553
Zeros (%)	7.8%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	10
Maximum	39007
Range	39007
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	362.6361688
Coefficient of variation (CV)	18.32226842
Kurtosis	7411.41225
Mean	19.7921
Median Absolute Deviation (MAD)	0
Skewness	77.10503233
Sum	395842
Variance	131504.9909
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	14170	70.9%
2	1721	8.6%
0	1553	7.8%
3	602	3.0%
4	398	2.0%
5	196	1.0%
7	110	0.5%
6	106	0.5%
8	68	0.3%
9	51	0.3%
Other values (411)	1025	5.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1553	7.8%
1	14170	70.9%
2	1721	8.6%
3	602	3.0%
4	398	2.0%
5	196	1.0%
6	106	0.5%
7	110	0.5%
8	68	0.3%
9	51	0.3%

Value	Count	Frequency (%)
39007	1	< 0.1%
19737	1	< 0.1%
17725	1	< 0.1%
5258	1	< 0.1%
4958	1	< 0.1%
4909	1	< 0.1%
4322	1	< 0.1%
4250	1	< 0.1%
3491	1	< 0.1%
2732	1	< 0.1%

srcport_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	682
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.66705

Minimum	0
Maximum	27764
Zeros	660
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	6
95-th percentile	113
Maximum	27764
Range	27764
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	378.0522428
Coefficient of variation (CV)	8.657608947
Kurtosis	1870.924494
Mean	43.66705
Median Absolute Deviation (MAD)	1
Skewness	34.06946492
Sum	873341
Variance	142923.4983
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	9503	47.5%
2	2545	12.7%
3	1068	5.3%
4	693	3.5%
0	660	3.3%
5	436	2.2%
6	341	1.7%
7	267	1.3%
8	228	1.1%
13	193	1.0%
Other values (672)	4066	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	660	3.3%
1	9503	47.5%
2	2545	12.7%
3	1068	5.3%
4	693	3.5%
5	436	2.2%
6	341	1.7%
7	267	1.3%
8	228	1.1%
9	179	0.9%

Value	Count	Frequency (%)
27764	1	< 0.1%
17122	1	< 0.1%
13393	1	< 0.1%
11704	1	< 0.1%
10373	1	< 0.1%
7356	1	< 0.1%
7339	1	< 0.1%
7207	1	< 0.1%
7102	1	< 0.1%
6941	1	< 0.1%

dstport_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	408
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.7341

Minimum	0
Maximum	9369
Zeros	660
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	7
Maximum	9369
Range	9369
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	227.0743923
Coefficient of variation (CV)	10.95173614
Kurtosis	572.6309298
Mean	20.7341
Median Absolute Deviation (MAD)	0
Skewness	21.11969578
Sum	414682
Variance	51562.77964
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	15217	76.1%
2	2296	11.5%
0	660	3.3%
3	400	2.0%
4	183	0.9%
5	123	0.6%
6	84	0.4%
7	71	0.4%
10	45	0.2%
8	43	0.2%
Other values (398)	878	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	660	3.3%
1	15217	76.1%
2	2296	11.5%
3	400	2.0%
4	183	0.9%
5	123	0.6%
6	84	0.4%
7	71	0.4%
8	43	0.2%
9	43	0.2%

Value	Count	Frequency (%)
9369	1	< 0.1%
8940	1	< 0.1%
7434	1	< 0.1%
6693	1	< 0.1%
5734	1	< 0.1%
5582	1	< 0.1%
5066	1	< 0.1%
4777	1	< 0.1%
4723	1	< 0.1%
4713	1	< 0.1%

alerttype_cd
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.17105

Minimum	0
Maximum	12
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	12
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5804384058
Coefficient of variation (CV)	0.4956563817
Kurtosis	23.71556521
Mean	1.17105
Median Absolute Deviation (MAD)	0
Skewness	3.17948048
Sum	23421
Variance	0.3369087429
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	16371	81.9%
2	2282	11.4%
0	594	3.0%
3	593	3.0%
4	123	0.6%
5	25	0.1%
6	7	< 0.1%
11	2	< 0.1%
7	2	< 0.1%
12	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	16371	81.9%
2	2282	11.4%
3	593	3.0%
4	123	0.6%
5	25	0.1%
6	7	< 0.1%
7	2	< 0.1%
11	2	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
11	2	< 0.1%
7	2	< 0.1%
6	7	< 0.1%
5	25	0.1%
4	123	0.6%
3	593	3.0%
2	2282	11.4%
1	16371	81.9%
0	594	3.0%

direction_cd
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0154

Minimum	0
Maximum	6
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2783284271
Coefficient of variation (CV)	0.2741071766
Kurtosis	19.36884214
Mean	1.0154
Median Absolute Deviation (MAD)	0
Skewness	1.202227449
Sum	20308
Variance	0.07746671334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	18521	92.6%
2	875	4.4%
0	594	3.0%
3	7	< 0.1%
5	2	< 0.1%
6	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	18521	92.6%
2	875	4.4%
3	7	< 0.1%
5	2	< 0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
5	2	< 0.1%
3	7	< 0.1%
2	875	4.4%
1	18521	92.6%
0	594	3.0%

eventname_cd
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1826

Minimum	0
Maximum	14
Zeros	669
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	14
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5837587504
Coefficient of variation (CV)	0.4936231612
Kurtosis	24.0689697
Mean	1.1826
Median Absolute Deviation (MAD)	0
Skewness	2.997206689
Sum	23652
Variance	0.3407742787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	15860	79.3%
2	2853	14.3%
0	669	3.3%
3	470	2.4%
4	96	0.5%
5	37	0.2%
6	8	< 0.1%
8	3	< 0.1%
7	3	< 0.1%
14	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	669	3.3%
1	15860	79.3%
2	2853	14.3%
3	470	2.4%
4	96	0.5%
5	37	0.2%
6	8	< 0.1%
7	3	< 0.1%
8	3	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
8	3	< 0.1%
7	3	< 0.1%
6	8	< 0.1%
5	37	0.2%
4	96	0.5%
3	470	2.4%
2	2853	14.3%
1	15860	79.3%
0	669	3.3%

severity_cd
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2572

Minimum	0
Maximum	5
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8034802045
Coefficient of variation (CV)	0.6391029307
Kurtosis	9.404659987
Mean	1.2572
Median Absolute Deviation (MAD)	0
Skewness	2.885431362
Sum	25144
Variance	0.645580439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	16115	80.6%
2	1955	9.8%
3	618	3.1%
0	594	3.0%
5	393	2.0%
4	325	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	16115	80.6%
2	1955	9.8%
3	618	3.1%
4	325	1.6%
5	393	2.0%

Value	Count	Frequency (%)
5	393	2.0%
4	325	1.6%
3	618	3.1%
2	1955	9.8%
1	16115	80.6%
0	594	3.0%

reportingdevice_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2025

Minimum	0
Maximum	144
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	144
Range	144
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.455197454
Coefficient of variation (CV)	1.210143413
Kurtosis	4718.006345
Mean	1.2025
Median Absolute Deviation (MAD)	0
Skewness	52.43333195
Sum	24050
Variance	2.11759963
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
1	16820	84.1%
2	1911	9.6%
0	594	3.0%
3	269	1.3%
4	237	1.2%
5	49	0.2%
6	36	0.2%
7	24	0.1%
8	11	0.1%
10	6	< 0.1%
Other values (18)	43	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	16820	84.1%
2	1911	9.6%
3	269	1.3%
4	237	1.2%
5	49	0.2%
6	36	0.2%
7	24	0.1%
8	11	0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
144	1	< 0.1%
37	1	< 0.1%
31	1	< 0.1%
30	2	< 0.1%
28	1	< 0.1%
26	2	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
21	2	< 0.1%
20	3	< 0.1%

devicetype_cd
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.024

Minimum	0
Maximum	7
Zeros	660
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3092390361
Coefficient of variation (CV)	0.3019912462
Kurtosis	22.21267122
Mean	1.024
Median Absolute Deviation (MAD)	0
Skewness	1.613288195
Sum	20480
Variance	0.09562878144
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	18240	91.2%
2	1070	5.3%
0	660	3.3%
3	27	0.1%
6	2	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	660	3.3%
1	18240	91.2%
2	1070	5.3%
3	27	0.1%
6	2	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	2	< 0.1%
3	27	0.1%
2	1070	5.3%
1	18240	91.2%
0	660	3.3%

devicevendor_cd
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	18008
2	1226
0	660
3	103
8	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18008	90.0%
2	1226	6.1%
0	660	3.3%
3	103	0.5%
8	3	< 0.1%

domain_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	29
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.9724

Minimum	0
Maximum	216836
Zeros	19093
Zeros (%)	95.5%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	216836
Range	216836
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1533.261765
Coefficient of variation (CV)	139.7380486
Kurtosis	19999.96722
Mean	10.9724
Median Absolute Deviation (MAD)	0
Skewness	141.4211824
Sum	219448
Variance	2350891.639
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	19093	95.5%
1	563	2.8%
2	123	0.6%
3	50	0.2%
4	37	0.2%
5	29	0.1%
6	20	0.1%
7	18	0.1%
11	12	0.1%
9	9	< 0.1%
Other values (19)	46	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19093	95.5%
1	563	2.8%
2	123	0.6%
3	50	0.2%
4	37	0.2%
5	29	0.1%
6	20	0.1%
7	18	0.1%
8	8	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
216836	1	< 0.1%
101	1	< 0.1%
68	1	< 0.1%
64	1	< 0.1%
35	1	< 0.1%
33	3	< 0.1%
32	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
23	3	< 0.1%

protocol_cd
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.64405

Minimum	0
Maximum	131
Zeros	9245
Zeros (%)	46.2%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	2
Maximum	131
Range	131
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.147133555
Coefficient of variation (CV)	1.781124998
Kurtosis	8339.63015
Mean	0.64405
Median Absolute Deviation (MAD)	1
Skewness	73.68983205
Sum	12881
Variance	1.315915393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	9245	46.2%
1	8945	44.7%
2	1677	8.4%
3	105	0.5%
4	18	0.1%
5	5	< 0.1%
6	2	< 0.1%
12	1	< 0.1%
15	1	< 0.1%
131	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9245	46.2%
1	8945	44.7%
2	1677	8.4%
3	105	0.5%
4	18	0.1%
5	5	< 0.1%
6	2	< 0.1%
12	1	< 0.1%
15	1	< 0.1%
131	1	< 0.1%

Value	Count	Frequency (%)
131	1	< 0.1%
15	1	< 0.1%
12	1	< 0.1%
6	2	< 0.1%
5	5	< 0.1%
4	18	0.1%
3	105	0.5%
2	1677	8.4%
1	8945	44.7%
0	9245	46.2%

username_cd
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	52
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3914

Minimum	0
Maximum	608
Zeros	17531
Zeros (%)	87.7%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	608
Range	608
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.113799009
Coefficient of variation (CV)	18.17526574
Kurtosis	3746.299611
Mean	0.3914
Median Absolute Deviation (MAD)	0
Skewness	55.59334911
Sum	7828
Variance	50.60613635
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	17531	87.7%
1	2089	10.4%
2	147	0.7%
4	34	0.2%
3	34	0.2%
6	17	0.1%
5	15	0.1%
11	11	0.1%
8	10	0.1%
21	10	0.1%
Other values (42)	102	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17531	87.7%
1	2089	10.4%
2	147	0.7%
3	34	0.2%
4	34	0.2%
5	15	0.1%
6	17	0.1%
7	9	< 0.1%
8	10	0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
608	1	< 0.1%
366	1	< 0.1%
358	1	< 0.1%
329	1	< 0.1%
271	1	< 0.1%
206	1	< 0.1%
194	1	< 0.1%
164	1	< 0.1%
123	1	< 0.1%
116	1	< 0.1%

srcipcategory_cd
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	17872
2	1246
0	594
3	274
4	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	17872	89.4%
2	1246	6.2%
0	594	3.0%
3	274	1.4%
4	14	0.1%

dstipcategory_cd
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	18832
0	594
2	561
3	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18832	94.2%
0	594	3.0%
2	561	2.8%
3	13	0.1%

isiptrusted
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	10499
0	9501

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

Most occurring characters

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10499	52.5%
0	9501	47.5%

untrustscore
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.83125

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	5
95-th percentile	5
Maximum	9
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.600656597
Coefficient of variation (CV)	0.5653533236
Kurtosis	-1.495124306
Mean	2.83125
Median Absolute Deviation (MAD)	2
Skewness	0.1983339679
Sum	56625
Variance	2.562101543
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	6429	32.1%
5	5273	26.4%
3	3391	17.0%
2	2992	15.0%
4	1912	9.6%
9	2	< 0.1%
8	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6429	32.1%
2	2992	15.0%
3	3391	17.0%
4	1912	9.6%
5	5273	26.4%
8	1	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	1	< 0.1%
5	5273	26.4%
4	1912	9.6%
3	3391	17.0%
2	2992	15.0%
1	6429	32.1%

flowscore
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

3	16565
4	2059
5	1376

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

Most occurring characters

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	16565	82.8%
4	2059	10.3%
5	1376	6.9%

trustscore
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

3	18538
5	1134
4	206
1	112
2	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	18538	92.7%
5	1134	5.7%
4	206	1.0%
1	112	0.6%
2	10	< 0.1%

enforcementscore
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

0	11624
-1	8376

Length

Max length	2
Median length	1
Mean length	1.4188
Min length	1

Characters and Unicode

Total characters	28376
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11624	58.1%
-1	8376	41.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	11624	58.1%
1	8376	41.9%

Most occurring characters

Value	Count	Frequency (%)
0	11624	41.0%
-	8376	29.5%
1	8376	29.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	70.5%
Dash Punctuation	8376	29.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11624	58.1%
1	8376	41.9%

Dash Punctuation

Value	Count	Frequency (%)
-	8376	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	28376	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11624	41.0%
-	8376	29.5%
1	8376	29.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11624	41.0%
-	8376	29.5%
1	8376	29.5%

dstipcategory_dominate
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

INTERNET	17570
PRIV-10	1845
PRIV-192	314
PRIV-172	222
PRIV-CGN	26
Other values (4)	23

Length

Max length	10
Median length	8
Mean length	7.90875
Min length	7

Characters and Unicode

Total characters	158175
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INTERNET
2nd row	INTERNET
3rd row	INTERNET
4th row	INTERNET
5th row	INTERNET

Common Values

Value	Count	Frequency (%)
INTERNET	17570	87.8%
PRIV-10	1845	9.2%
PRIV-192	314	1.6%
PRIV-172	222	1.1%
PRIV-CGN	26	0.1%
BROADCAST	10	0.1%
MULTICAST	6	< 0.1%
LOOPBACK	5	< 0.1%
LINK-LOCAL	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
internet	17570	87.8%
priv-10	1845	9.2%
priv-192	314	1.6%
priv-172	222	1.1%
priv-cgn	26	0.1%
broadcast	10	< 0.1%
multicast	6	< 0.1%
loopback	5	< 0.1%
link-local	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	35168	22.2%
T	35162	22.2%
E	35140	22.2%
R	19987	12.6%
I	19985	12.6%
P	2412	1.5%
-	2409	1.5%
V	2407	1.5%
1	2381	1.5%
0	1845	1.2%
Other values (14)	1279	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	150468	95.1%
Decimal Number	5298	3.3%
Dash Punctuation	2409	1.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	35168	23.4%
T	35162	23.4%
E	35140	23.4%
R	19987	13.3%
I	19985	13.3%
P	2412	1.6%
V	2407	1.6%
C	49	< 0.1%
A	33	< 0.1%
G	26	< 0.1%
Other values (8)	99	0.1%

Decimal Number

Value	Count	Frequency (%)
1	2381	44.9%
0	1845	34.8%
2	536	10.1%
9	314	5.9%
7	222	4.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2409	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	150468	95.1%
Common	7707	4.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	35168	23.4%
T	35162	23.4%
E	35140	23.4%
R	19987	13.3%
I	19985	13.3%
P	2412	1.6%
V	2407	1.6%
C	49	< 0.1%
A	33	< 0.1%
G	26	< 0.1%
Other values (8)	99	0.1%

Common

Value	Count	Frequency (%)
-	2409	31.3%
1	2381	30.9%
0	1845	23.9%
2	536	7.0%
9	314	4.1%
7	222	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	35168	22.2%
T	35162	22.2%
E	35140	22.2%
R	19987	12.6%
I	19985	12.6%
P	2412	1.5%
-	2409	1.5%
V	2407	1.5%
1	2381	1.5%
0	1845	1.2%
Other values (14)	1279	0.8%

srcipcategory_dominate
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

PRIV-10	9763
INTERNET	5292
PRIV-192	2914
PRIV-172	2020
LINK-LOCAL	5
Other values (2)	6

Length

Max length	10
Median length	8
Mean length	7.5122
Min length	5

Characters and Unicode

Total characters	150244
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PRIV-10
2nd row	INTERNET
3rd row	PRIV-10
4th row	PRIV-172
5th row	PRIV-192

Common Values

Value	Count	Frequency (%)
PRIV-10	9763	48.8%
INTERNET	5292	26.5%
PRIV-192	2914	14.6%
PRIV-172	2020	10.1%
LINK-LOCAL	5	< 0.1%
LOOPBACK	5	< 0.1%
BENCH	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
priv-10	9763	48.8%
internet	5292	26.5%
priv-192	2914	14.6%
priv-172	2020	10.1%
link-local	5	< 0.1%
loopback	5	< 0.1%
bench	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
I	19994	13.3%
R	19989	13.3%
P	14702	9.8%
-	14702	9.8%
V	14697	9.8%
1	14697	9.8%
N	10590	7.0%
E	10585	7.0%
T	10584	7.0%
0	9763	6.5%
Other values (10)	9941	6.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	101214	67.4%
Decimal Number	34328	22.8%
Dash Punctuation	14702	9.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	19994	19.8%
R	19989	19.7%
P	14702	14.5%
V	14697	14.5%
N	10590	10.5%
E	10585	10.5%
T	10584	10.5%
L	20	< 0.1%
O	15	< 0.1%
C	11	< 0.1%
Other values (4)	27	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	14697	42.8%
0	9763	28.4%
2	4934	14.4%
9	2914	8.5%
7	2020	5.9%

Dash Punctuation

Value	Count	Frequency (%)
-	14702	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101214	67.4%
Common	49030	32.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	19994	19.8%
R	19989	19.7%
P	14702	14.5%
V	14697	14.5%
N	10590	10.5%
E	10585	10.5%
T	10584	10.5%
L	20	< 0.1%
O	15	< 0.1%
C	11	< 0.1%
Other values (4)	27	< 0.1%

Common

Value	Count	Frequency (%)
-	14702	30.0%
1	14697	30.0%
0	9763	19.9%
2	4934	10.1%
9	2914	5.9%
7	2020	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150244	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	19994	13.3%
R	19989	13.3%
P	14702	9.8%
-	14702	9.8%
V	14697	9.8%
1	14697	9.8%
N	10590	7.0%
E	10585	7.0%
T	10584	7.0%
0	9763	6.5%
Other values (10)	9941	6.6%

dstportcategory_dominate
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

2	15883
3	1591
1	1067
4	797
0	662

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

Most occurring characters

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	15883	79.4%
3	1591	8.0%
1	1067	5.3%
4	797	4.0%
0	662	3.3%

srcportcategory_dominate
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

4	11050
3	5173
2	1651
1	1462
0	664

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

Most occurring characters

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	11050	55.2%
3	5173	25.9%
2	1651	8.3%
1	1462	7.3%
0	664	3.3%

thrcnt_month
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3897
Distinct (%)	19.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2669.55525

Minimum	1
Maximum	18153
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	35
median	116
Q3	1221.25
95-th percentile	16328.05
Maximum	18153
Range	18152
Interquartile range (IQR)	1186.25

Descriptive statistics

Standard deviation	5364.833747
Coefficient of variation (CV)	2.00963578
Kurtosis	2.242642391
Mean	2669.55525
Median Absolute Deviation (MAD)	107
Skewness	1.974328245
Sum	53391105
Variance	28781441.13
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	511	2.6%
2	338	1.7%
3	258	1.3%
5	229	1.1%
4	219	1.1%
6	206	1.0%
8	186	0.9%
7	186	0.9%
11	161	0.8%
12	154	0.8%
Other values (3887)	17552	87.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	511	2.6%
2	338	1.7%
3	258	1.3%
4	219	1.1%
5	229	1.1%
6	206	1.0%
7	186	0.9%
8	186	0.9%
9	134	0.7%
10	142	0.7%

Value	Count	Frequency (%)
18153	1	< 0.1%
18152	1	< 0.1%
18151	3	< 0.1%
18150	3	< 0.1%
18149	6	< 0.1%
18148	2	< 0.1%
18147	5	< 0.1%
18146	4	< 0.1%
18145	3	< 0.1%
18144	3	< 0.1%

thrcnt_week
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2114
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	625.60425

Minimum	1
Maximum	4146
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	10
median	33
Q3	295.25
95-th percentile	3792
Maximum	4146
Range	4145
Interquartile range (IQR)	285.25

Descriptive statistics

Standard deviation	1239.178175
Coefficient of variation (CV)	1.980770071
Kurtosis	2.114944196
Mean	625.60425
Median Absolute Deviation (MAD)	29
Skewness	1.940972803
Sum	12512085
Variance	1535562.549
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1068	5.3%
2	737	3.7%
3	581	2.9%
4	514	2.6%
5	497	2.5%
6	403	2.0%
7	402	2.0%
8	386	1.9%
9	365	1.8%
10	349	1.7%
Other values (2104)	14698	73.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1068	5.3%
2	737	3.7%
3	581	2.9%
4	514	2.6%
5	497	2.5%
6	403	2.0%
7	402	2.0%
8	386	1.9%
9	365	1.8%
10	349	1.7%

Value	Count	Frequency (%)
4146	1	< 0.1%
4145	1	< 0.1%
4144	1	< 0.1%
4142	2	< 0.1%
4141	3	< 0.1%
4140	3	< 0.1%
4139	3	< 0.1%
4138	5	< 0.1%
4137	1	< 0.1%
4136	2	< 0.1%

thrcnt_day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	726
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.15465

Minimum	1
Maximum	866
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	6
Q3	48
95-th percentile	645.05
Maximum	866
Range	865
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	204.281704
Coefficient of variation (CV)	2.039662702
Kurtosis	2.923059189
Mean	100.15465
Median Absolute Deviation (MAD)	5
Skewness	2.116137928
Sum	2003093
Variance	41731.01458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3257	16.3%
2	2193	11.0%
3	1626	8.1%
4	1248	6.2%
5	995	5.0%
6	788	3.9%
7	677	3.4%
8	651	3.3%
9	532	2.7%
10	474	2.4%
Other values (716)	7559	37.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3257	16.3%
2	2193	11.0%
3	1626	8.1%
4	1248	6.2%
5	995	5.0%
6	788	3.9%
7	677	3.4%
8	651	3.3%
9	532	2.7%
10	474	2.4%

Value	Count	Frequency (%)
866	1	< 0.1%
865	1	< 0.1%
863	1	< 0.1%
856	1	< 0.1%
851	2	< 0.1%
847	3	< 0.1%
846	2	< 0.1%
844	2	< 0.1%
843	1	< 0.1%
842	1	< 0.1%

p6
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.17105

Minimum	0
Maximum	12
Zeros	594
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	12
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5804384058
Coefficient of variation (CV)	0.4956563817
Kurtosis	23.71556521
Mean	1.17105
Median Absolute Deviation (MAD)	0
Skewness	3.17948048
Sum	23421
Variance	0.3369087429
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	16371	81.9%
2	2282	11.4%
0	594	3.0%
3	593	3.0%
4	123	0.6%
5	25	0.1%
6	7	< 0.1%
11	2	< 0.1%
7	2	< 0.1%
12	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	594	3.0%
1	16371	81.9%
2	2282	11.4%
3	593	3.0%
4	123	0.6%
5	25	0.1%
6	7	< 0.1%
7	2	< 0.1%
11	2	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
11	2	< 0.1%
7	2	< 0.1%
6	7	< 0.1%
5	25	0.1%
4	123	0.6%
3	593	3.0%
2	2282	11.4%
1	16371	81.9%
0	594	3.0%

p9
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	115
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.647

Minimum	0
Maximum	22000
Zeros	19491
Zeros (%)	97.5%
Negative	0
Negative (%)	0.0%
Memory size	156.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	22000
Range	22000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	200.305986
Coefficient of variation (CV)	35.47122117
Kurtosis	7673.593709
Mean	5.647
Median Absolute Deviation (MAD)	0
Skewness	77.10866903
Sum	112940
Variance	40122.48802
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19491	97.5%
2	103	0.5%
1	82	0.4%
4	30	0.1%
6	26	0.1%
3	23	0.1%
8	19	0.1%
10	17	0.1%
7	16	0.1%
5	12	0.1%
Other values (105)	181	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19491	97.5%
1	82	0.4%
2	103	0.5%
3	23	0.1%
4	30	0.1%
5	12	0.1%
6	26	0.1%
7	16	0.1%
8	19	0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
22000	1	< 0.1%
10096	1	< 0.1%
5681	1	< 0.1%
3997	1	< 0.1%
3188	1	< 0.1%
3093	1	< 0.1%
3090	1	< 0.1%
3072	1	< 0.1%
3064	1	< 0.1%
3040	1	< 0.1%

p5m
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	8919
2	5683
3	4606
4	792

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

Most occurring characters

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8919	44.6%
2	5683	28.4%
3	4606	23.0%
4	792	4.0%

p5w
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	13238
2	4646
3	1940
4	176

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13238	66.2%
2	4646	23.2%
3	1940	9.7%
4	176	0.9%

p5d
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	16153
2	3133
3	692
4	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16153	80.8%
2	3133	15.7%
3	692	3.5%
4	22	0.1%

p8m
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	14066
2	3948
3	1794
4	166
5	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14066	70.3%
2	3948	19.7%
3	1794	9.0%
4	166	0.8%
5	26	0.1%

p8w
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	16168
2	3043
3	724
4	59
5	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16168	80.8%
2	3043	15.2%
3	724	3.6%
4	59	0.3%
5	6	< 0.1%

p8d
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.4 KiB

1	18062
2	1755
3	175
4	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	20000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18062	90.3%
2	1755	8.8%
3	175	0.9%
4	8	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	alert_ids	client_code	categoryname	ip	ipcategory_name	ipcategory_scope	parent_category	grandparent_category	overallseverity	timestamp_dist	start_hour	start_minute	start_second	weekday	correlatedcount	n1	n2	n3	n4	n5	n6	n7	n8	n9	n10	score	srcip_cd	dstip_cd	srcport_cd	dstport_cd	alerttype_cd	direction_cd	eventname_cd	severity_cd	reportingdevice_cd	devicetype_cd	devicevendor_cd	domain_cd	protocol_cd	username_cd	srcipcategory_cd	dstipcategory_cd	isiptrusted	untrustscore	flowscore	trustscore	enforcementscore	dstipcategory_dominate	srcipcategory_dominate	dstportcategory_dominate	srcportcategory_dominate	thrcnt_month	thrcnt_week	thrcnt_day	p6	p9	p5m	p5w	p5d	p8m	p8w	p8d
0	Slg	RLJ	Exploit	MW.YB.50.64	INTERNET	Internet	7	A	3	0	11	44	26	Wed	1	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	1	0	3	3	3	0	INTERNET	PRIV-10	2	4	1302	298	42	1	0	1	1	1	1	1	1
1	WKM	UZT	Exploit	IJ.NW.77.74	INTERNET	Internet	7	A	5	0	22	39	30	Sat	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	1	0	5	3	3	0	INTERNET	INTERNET	2	3	20	11	3	1	0	1	1	1	1	1	1
2	dkm	ZZW	Attack	YT.LB.36.21	INTERNET	Internet	7	A	3	0	7	57	5	Sat	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	0	2	3	3	0	INTERNET	PRIV-10	2	4	16131	3601	602	1	0	3	1	1	1	1	1
3	RIX	QXG	Attack	172.BW.LB.105	PRIV-172	Private network	1	A	3	0	0	21	33	Thu	1	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	4.0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	3	3	0	INTERNET	PRIV-172	2	4	53	12	4	1	0	3	1	1	2	1	1
4	qFU	PDU	Exploit	YT.LB.32.110	INTERNET	Internet	7	A	3	258273	18	39	29	Fri	14	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	1	1	14	1	1	1	2	1	1	1	1	0	1	0	1	1	0	3	3	3	0	INTERNET	PRIV-192	2	4	541	131	20	1	0	1	1	1	1	1	1
5	LKw	ZZE	Exploit	XV.II.129.255	INTERNET	Internet	7	A	5	338814	16	55	48	Fri	1378	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	1.0	0.0	5.0	245	1	1308	3	2	1	2	2	1	1	1	0	1	0	1	1	0	4	4	3	0	INTERNET	PRIV-10	2	4	62	3	1	2	0	3	2	1	2	2	1
6	lKT	BUW	Exploit	BY.XJ.15.50	INTERNET	Internet	7	A	4	404894	22	59	5	Fri	50	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	2	1	50	1	1	1	2	1	1	1	1	0	0	0	1	1	0	3	3	4	0	INTERNET	PRIV-10	2	3	150	78	1	1	0	2	2	1	1	1	1
7	pAT	KKL	Exploit	10.KW.GO.5	PRIV-10	Private network	1	A	2	0	19	53	1	Tue	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	1	1	1	1	1	1	1	1	0	0	0	1	1	1	1	3	3	-1	INTERNET	PRIV-10	3	3	113	24	4	1	0	3	2	2	3	2	2
8	oyf	OSC	Attack	10.AA.IU.62	PRIV-10	Private network	1	A	4	21646	4	57	49	Fri	105	1.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	6.0	1	50	4	13	3	1	1	3	1	1	1	0	0	0	1	1	1	3	4	3	0	INTERNET	PRIV-10	3	1	184	27	7	3	102	4	4	3	3	3	2
9	gGJ	AMC	Control and Maintain	SO.JE.235.122	INTERNET	Internet	7	A	5	48279	5	3	41	Fri	75	1.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	5.0	71	1	73	44	2	1	2	4	4	1	1	0	2	0	1	1	1	5	4	3	0	INTERNET	INTERNET	2	3	152	36	4	2	0	3	3	3	2	2	2

Last rows

	alert_ids	client_code	categoryname	ip	ipcategory_name	ipcategory_scope	parent_category	grandparent_category	overallseverity	timestamp_dist	start_hour	start_minute	start_second	weekday	correlatedcount	n1	n2	n3	n4	n5	n6	n7	n8	n9	n10	score	srcip_cd	dstip_cd	srcport_cd	dstport_cd	alerttype_cd	direction_cd	eventname_cd	severity_cd	reportingdevice_cd	devicetype_cd	devicevendor_cd	protocol_cd	username_cd	srcipcategory_cd	dstipcategory_cd	isiptrusted	untrustscore	flowscore	trustscore	enforcementscore	dstipcategory_dominate	srcipcategory_dominate	dstportcategory_dominate	srcportcategory_dominate	thrcnt_month	thrcnt_week	thrcnt_day	p6	p9	p5m	p5w	p5d	p8m	p8w	p8d
19990	Vvq	IYB	Exploit	UN.BR.118.18	INTERNET	Internet	7	A	4	0	23	53	38	Fri	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	1	1	1	1	1	1	1	1	0	0	1	1	0	5	3	3	-1	PRIV-10	INTERNET	2	4	4	1	1	1	0	1	1	1	1	1	1
19991	Mqv	FCQ	Attack	MW.SW.158.234	INTERNET	Internet	7	A	3	0	11	7	39	Wed	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1	1	1	1	1	1	1	1	1	1	1	0	0	1	1	0	2	3	3	0	INTERNET	PRIV-172	3	2	900	182	20	1	0	1	1	1	1	1	1
19992	RJX	JJX	Attack	WA.RN.18.184	INTERNET	Internet	7	A	5	4678	2	49	26	Mon	1	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	3.0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	5	3	3	0	INTERNET	INTERNET	2	4	49	13	1	1	0	2	2	1	1	1	1
19993	nOQ	MDD	Attack	192.SL.WJ.109	PRIV-192	Private network	1	A	3	6075	18	37	8	Sun	4	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	5.0	1	3	4	3	2	1	1	2	1	1	1	0	0	1	1	1	2	3	3	0	INTERNET	PRIV-192	2	4	63	7	3	2	1	4	3	2	2	2	2
19994	MCK	MNF	Exploit	RD.GZ.91.228	INTERNET	Internet	7	A	1	0	10	12	7	Tue	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	1	1	1	1	1	1	1	1	0	0	1	1	0	1	3	1	-1	INTERNET	PRIV-10	2	4	9	9	9	1	0	2	2	2	1	1	1
19995	rub	ZRV	Exploit	YT.LB.133.99	INTERNET	Internet	7	A	2	43201	19	12	7	Sun	3	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1	1	3	1	1	1	1	1	1	1	1	0	0	1	1	0	1	3	3	-1	INTERNET	PRIV-10	2	3	290	75	4	1	0	1	1	1	1	1	1
19996	Nty	BMU	Exploit	MA.LA.169.242	INTERNET	Internet	7	A	3	0	13	1	26	Thu	1	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	4.0	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	0	3	3	3	0	INTERNET	PRIV-10	2	3	295	39	8	1	0	2	2	1	2	2	2
19997	TmA	PCV	Exploit	10.NF.RC.138	PRIV-10	Private network	1	A	5	1	18	44	8	Sat	2	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	5	3	3	0	PRIV-10	INTERNET	2	3	7	1	1	1	0	1	1	1	1	1	1
19998	zkv	JIT	Attack	KN.IR.6.26	INTERNET	Internet	7	A	3	748	8	47	38	Mon	1	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	1.0	0.0	5.0	1	1	1	1	1	1	1	1	1	1	1	0	0	1	1	0	4	3	3	-1	INTERNET	PRIV-10	2	4	40	15	1	1	0	3	2	1	3	2	1
19999	ADa	OUW	Exploit	JM.KV.177.114	INTERNET	Internet	7	A	5	13111	13	17	4	Fri	20	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	17	1	8	17	2	1	2	2	1	1	1	0	0	1	1	1	5	4	3	0	INTERNET	INTERNET	3	2	215	55	6	2	0	3	3	3	3	2	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category